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    <identifier>10.57760/sciencedb.20736</identifier>
    <datestamp>2025-02-10T17:06:17Z</datestamp>
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  <dc:date>2025-02-10</dc:date>
  <dc:title>FSP sensor data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.20736</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The database of 27 normal and defected composite laminates (in two sets of samples) including normal and defected composites fabricated are shown in Table 1. The classification is obtained by visual inspection. The sensor data is made available in three folders. The first is &amp;ldquo;Sensor data Set1 and Set2&amp;rdquo; which contains the 54 .csv files containing the raw time series signals generated by the NI data acquisition system including vibration, current and force (X, Y, Z) signal values synchronized in 0 to 5 V for each of the 27 samples in two different sets on which FSP is performed. Second folder named as &amp;ldquo;Features extracted&amp;rdquo; contains the time domain and frequency domain features extracted using standard libraries. Third folder contains the &amp;ldquo;L27 sensor-data&amp;rdquo; which includes the excel file of all 27 samples prepared and their respective mean mode and median of sensor data for each sample which are further labelled of the defect condition.</dc:description>
  <dc:subject>multi-sensor data; friction stir processing; composite fabrication</dc:subject>
  <dc:creator>Pragya Saxena</dc:creator>
  <dc:creator>Dr. Arunkumar Bongale</dc:creator>
  <dc:creator>Dr. Satish Kumar</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1088/2053-1591/ad8ca2</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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